Elsevier

Ocean Modelling

Volume 152, August 2020, 101645
Ocean Modelling

Performance assessment of Tsunami-HySEA model for NTHMP tsunami currents benchmarking. Field cases

https://doi.org/10.1016/j.ocemod.2020.101645Get rights and content

Highlights

  • Assessment of the Tsunami-HySEA model for tsunami currents is performed.

  • Measured observed data from the 2011 Tohoku tsunami are used for verification.

  • The field data used were proposed by NTHMP for tsunami-currents model validation.

  • Hydrostatic version of the numerical model Tsunami-HySEA is used.

  • Model results are in good agreement with observed field data.

Abstract

In this study, we present model results derived from the Tsunami Current Benchmarking Workshop held by the NTHMP (National Tsunami Hazard Mitigation Program) at Portland, Oregon, US, in February 2015 for the two benchmark problems dealing with field data. In this workshop, the Tsunami-HySEA model was used to perform the five proposed numerical benchmarks. The other three benchmarks, which are based on lab data, are the subject of a related paper (Macías et al., 2020). The results and comparisons with measured data for the two benchmarks which deal with field observations, described in the present paper, include: (1) Benchmark #2, impact of tsunami waves at Hilo Harbor, Hawaii, and (2) Benchmark #3, tsunami currents at Tauranga Harbor, New Zealand, both for data of the 2011 Tohoku tsunami. The numerical results demonstrate that the Tsunami-HySEA model is able to accurately reproduce sea surface elevations and current velocities for both the benchmark problems performed in a reduced local domain as in the case of the complete scenario modeled from the source to Hilo Harbor on the Pacific Ocean.

Introduction

The tsunami-modeling community has focused most of its effort on modeling wave height and runup as the key components of tsunami hazard assessment, and model validation has been mostly restricted to these variables (Nicolsky et al., 2011, NTHMP, 2012 and references therein; Tolkova, 2014, Horrillo et al., 2015, and many others). On the other hand, studies focused on modeling the effects of tsunami currents or devoted to model validation for tsunami currents are less common (Lynett et al., 2014). Nevertheless, the impact caused by the strong currents that typically accompany a tsunami is of key importance in ports, bays, and harbours. It is even important with regard to streets in between buildings for larger tsunamis (as in Onagawa during the 2011 Tohoku tsunami). Besides water height, the ability to compute and predict tsunami flow velocities has revealed of great importance in risk assessment and hazard mitigation. Model results are increasingly being used to estimate damage to coastal infrastructure, and therefore understanding the accuracy and precision of velocity predictions for tsunami currents becomes of undeniable importance. Nonetheless, until recently, a benchmarking based on velocity current observations was difficult to perform as few direct measurements of tsunami velocities existed to compare with the model results. This has changed since the 2011 Tohoku tsunami as many current-meters were deployed in several locations around the Pacific. However, despite the deployment of these current-meters, the numerical results and comparisons presented here and during the workshop, revealed some deficiencies in these observed data (in particular in the frequency of sampling) which do not allow a completely satisfactory comparison with the numerical results.

Being aware of this need for validation and verification, and also aware of the lack of model benchmarking for tsunami currents, the National Tsunami Hazard Mitigation Program (NTHMP) decided to implement a benchmarking procedure to evaluate NTHMP-approved models for current predictions. The previous benchmark tests mandated by the NTHMP focused on wave height and runup (NTHMP, 2012). To fulfill this new mandate a benchmarking workshop was organized in February, 2015 in Portland, Oregon (http://coastal.usc.edu/currents_workshop/), called “NTHMP/MMS Benchmarking Workshop: Tsunami currents”. For this workshop, five different benchmark problems were proposed, including lab-measured datasets and observed data. The first two benchmark problems were mandatory for all participating modelers/models, with the remainder of the tests being optional. Benchmarks #1, #4, and #5 were based on lab-measured data, and are the subject of another paper (Macías et al., 2020). BP2 proposed the simulation of a field case for the Hilo Harbor (Hawaii, USA) during the 2011 Tohoku tsunami. The third test dealt with the impact of the 2011 Tohoku tsunami on Tauranga Harbor, New Zealand, with the aim of including the effects of tides. The EDANYA group (www.uma.es/edanya) from the University of Málaga participated in the workshop with the Tsunami-HySEA model and presented numerical results for all five of the benchmark problems proposed. As output of the workshop, a model inter-comparison study was elaborated (Lynett et al., 2017) and a report containing results from all models was produced (NTHMP, 2016). In the present work, the numerical results obtained with the Tsunami-HySEA model for the two benchmark problems based on field data are described and compared by the provided observed data.

This paper is outlined as follows. Section 2 describes the numerical model: equations and numerical aspects. Sections 3 Benchmark problem #2: Tsunami currents in Hilo Harbor, 4 Benchmark problem #3: Tsunami currents in Tauranga Harbor describe the two benchmark problems and present the numerical results obtained with the Tsunami-HySEA model, for Hilo Harbor and Tauranga Harbor, respectively. Section 5 concludes the paper with some final comments and remarks.

Section snippets

The Tsunami-HySEA numerical model

The open source Tsunami-HySEA model (edanya.uma.es/hysea/) was used to perform the numerical simulations for the two benchmark problems considered in this work and based on field data, different scenarios were simulated for both benchmarks based on field data. The Tsunami-HySEA numerical model combines robustness, reliability and good accuracy in a model based on a GPU implementation that produces much faster than real time (FTRT) simulations in many configurations. It has been rigorously

Benchmark problem #2: Tsunami currents in Hilo Harbor

The 2011 Tohoku tsunami caused persistent oscillations and hazardous currents in coastal waters around Hawaii that resulted in damage in harbors and marinas. At the same time, extensive current measurements were collected during this event in and around Hawaii, and estimates of tsunami-induced currents were extracted from these measurements via spectral analysis (Cheung et al., 2013, Arcos and LeVeque, 2015). The present benchmark test focuses on a smaller region around Hilo Harbor and proposes

Benchmark problem #3: Tsunami currents in Tauranga Harbor

This benchmark provides the data for comparison with a field database recording the 2011 Tohoku tsunami in Tauranga Harbor, New Zealand. Complete details of the dataset provided for this benchmark can be found at http://coastal.usc.edu/currents_workshop/problems/prob3.html and general information about the tsunami impact in New Zealand can be found in Borrero et al. (2013). During the 2011 Tohoku tsunami at Tauranga Harbor in the Bay of Plenty and home to the Port of Tauranga, several sea water

Concluding remarks

The overall conclusion that we could extract from this validation exercise was that the Tsunami-HySEA model performed well in all benchmark problems proposed. For BP2, namely Hilo Harbor, good agreement is obtained at the control point and the tidal station for sea surface elevation. Depth-averaged velocities show a good fit for the initial pattern of the signal (in u and v), becoming noisier for the u component at location HA 1125 (see comments in NTHMP (2016) on data sampling for this case).

CRediT authorship contribution statement

Jorge Macías: Writing - review & editing, Funding acquisition, Project administration, Conceptualization, Methodology, Validation, Investigation, Resources, Writing - original draft, Visualization, Supervision. Manuel J. Castro: Funding acquisition, Project administration, Methodology, Software, Investigation, Visualization. Sergio Ortega: Investigation, Visualization. José Manuel González-Vida: Investigation, Visualization.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgments

This research has been partially supported by the Junta de Andalucía research project TESELA (P11-RNM7069), the Spanish Government/FEDER funded project MEGAFLOW (RTI2018-096064-B-C21), the Junta de Andalucía/FEDER funded project UMA18-Federja-161 and Universidad de Málaga, Campus de Excelencia Andalucía TECH . The multi-GPU computations were performed at the Unit of Numerical Methods (University of Malaga). We would like to thank Diego Arcas from PMEL/NOAA for providing the source for the

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